ABSTRACT
Microgrids and smart grids are gradually evolving from conventional power systems. Microgrids enable high resilience systems where interconnected subgrids govern power distribution. Remote microgrid systems deliver reliable, renewable power cost-effectively to places without access to an electrical grid. To ensure constant voltage and frequency to the consumers, stability of remote microgrids should be improved and maintained at a desired level. This chapter begins with an introduction, background, and motivation of the stability issues of the remote microgrid system. Then it discusses about the stability due to nonlinearity in microgrid, thyristor switched capacitor, various faults, stability improvement of the remote microgrid by nonlinear controllers such as fuzzy logic controller, adaptive neuro-fuzzy inference system (ANFIS), etc. Finally, detailed simulation results obtained through Matlab/Simulink based software have been presented and discussed.
